Detection of adulteration in hydrated ethyl alcohol fuel using infrared spectroscopy and supervised pattern recognition methods

► Hydrated ethyl alcohol fuel adulteration problem is addressed. ► PLS-DA and LDA are applied to NIR and MIR data. ► Satisfactory classification performance of PLS-DA and LDA models is demonstrated.